About the role
Tldr; Build the human escalation layer that every AI agent will rely on. Founding engineer, full equity band.
Agents are now writing the majority of code in Cursor, Claude Code, Codex, and Devin. They draft contracts. They run support. They've crossed the line from demo to production.
But agents still get stuck. They make confident mistakes in unfamiliar domains. They loop on bugs they can't diagnose. They ship architectures their users will quietly regret.
Most people think this gap closes as models get better. We think it grows. As agents take on more autonomous, higher-stakes work, the long tail of "things only a domain expert can resolve" gets longer, not shorter. Every serious agentic system five years from now will have a human escalation layer underneath it.
Humwork is building that layer.
When an agent hits its limit, it calls Humwork. We match it to a verified expert — engineer, lawyer, infra specialist, designer, scientist, whoever fits — in under 30 seconds, hand off full context, and the expert works the problem inside the agent's loop. The agent resumes. The user never leaves their flow.
We launched as an MCP plugin a few months ago. We're already integrated across Claude Code, Cursor, Codex, ChatGPT, Windsurf, and Lovable. Now we're scaling.
We need a founding engineer.
What you'd own
Surfaces you'll touch from week one:
- Matching engine. Embeddings + a domain matcher that routes a consultation to the right expert in seconds. Heavy on retrieval quality, candidate ranking, and tail coverage.
- Realtime infra. FastAPI + Postgres + Redis + Ably streaming an agent ↔ expert session, with reconnects, ordered delivery, and AI-summarized context handoff.
- The MCP plugin layer. The tools, hooks, and skills that decide an agent should escalate and it should describe the problem. This is the integration that ships into every host (Claude Code, Cursor, Codex, etc.) — small surface, enormous leverage.
